Vet
atilladeniz/Kubeli
Run vet immediately after ANY logical unit of code changes. An agent skill from atilladeniz/Kubeli.
Start or patch Dynamo router modes and run router endpoint smoke checks.
Install Dynamo Router Starter
$ npx skills add NVIDIA/skills --skill dynamo-router-starter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills dynamo-router-starter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dynamo-router-starter .claude/skills/dynamo-router-starter && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dynamo-router-starter" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter into .claude/skills/dynamo-router-starter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamo-router-starter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add NVIDIA/skills --skill dynamo-router-starter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills dynamo-router-starter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dynamo-router-starter .agents/skills/dynamo-router-starter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dynamo-router-starter" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter into .agents/skills/dynamo-router-starter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamo-router-starter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill dynamo-router-starter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills dynamo-router-starter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dynamo-router-starter .cursor/skills/dynamo-router-starter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dynamo-router-starter" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter into .cursor/skills/dynamo-router-starter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamo-router-starter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/NVIDIA/skills.git --path skills/dynamo-router-starter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add NVIDIA/skills --skill dynamo-router-starter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills dynamo-router-starter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dynamo-router-starter .gemini/skills/dynamo-router-starter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dynamo-router-starter" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter into .gemini/skills/dynamo-router-starter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamo-router-starter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install NVIDIA/skills dynamo-router-starterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add NVIDIA/skills --skill dynamo-router-starter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dynamo-router-starter .github/skills/dynamo-router-starter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dynamo-router-starter" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter into .github/skills/dynamo-router-starter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamo-router-starter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add NVIDIA/skills --skill dynamo-router-starter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills dynamo-router-starter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dynamo-router-starter .opencode/skills/dynamo-router-starter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dynamo-router-starter" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/dynamo-router-starter into .opencode/skills/dynamo-router-starter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dynamo-router-starter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dynamo-router-starter- GitHub stars
- 3.5k
- Used in
- 1 other repo
- Token cost
- ~1.4k tokens
- SKILL.md length
- 548 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 380
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Start or patch Dynamo router modes and run router endpoint smoke checks.
- Works in 4 steps: Establish A Baseline → Enable KV Routing → Smoke Test → …
- Device-aware routing setup
- SKILL.md covers Purpose, Prerequisites, Required Inputs and Instructions, plus 7 more sections
- Runs Python scripts from its folder; calls python3 and kubectl
What it does
Dynamo Router Starter is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `BENCHMARK.md`, `evals/evals.json` and `references/router-modes.md`).
It sits in DevOps & Cloud. It works with Kubernetes and Python. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
When your agent uses it
- Device-aware routing setup
- Use recipe-runner for recipe deployment and troubleshoot for failure diagnosis
Example prompts
- “/dynamo-router-starter”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 67a13c0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3kubectl
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use kubectl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dynamo Router Starter loads about 1.4k tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 548 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from NVIDIA/skills at commit 67a13c0, republished under its Apache-2.0 licence (© NVIDIA). 548 words, ~1,428 tokens.
Download SKILL.mdSave it as
.claude/skills/dynamo-router-starter/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- dynamo-router-starter
- description
- Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.
- license
- Apache-2.0
- metadata.author
- Dan Gil <dagil@nvidia.com>
- metadata.tags
- dynamo, router, smoke-test, bring-up
Dynamo Router Starter
<!--
SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
SPDX-License-Identifier: CC-BY-4.0
-->Purpose
Make Dynamo routing feel easy by getting a baseline router mode running, enabling KV-aware routing when appropriate, and proving the endpoint works. Keep the user focused on exact commands and success signals, not router internals.
Prerequisites
- Python 3.10+ with the
dynamopackage importable (python3 -m dynamo.frontend --helpworks). - For Kubernetes runs:
kubectlconfigured with access to the target namespace and a deployed Dynamo recipe. - Network reachability to the frontend service (port-forward or direct).
- A model already loaded into at least one worker (
/v1/modelsreturns at least one entry).
Required Inputs
Collect or infer:
- local Python/CLI or Kubernetes recipe path
- desired mode:
round-robin,kv,least-loaded,device-aware-weighted,direct, orrandom - frontend port or Kubernetes frontend service
- whether workers publish KV events; if not, use approximate KV mode
- model name for smoke requests, if
/v1/modelscannot discover it
Instructions
1. Establish A Baseline
For local bring-up with already registered workers:
python3 -m dynamo.frontend --router-mode round-robin --http-port 8000For Kubernetes, inspect the selected recipe deploy.yaml and locate the
frontend service. If the recipe is not already deployed, use
dynamo-recipe-runner first.
2. Enable KV Routing
For local frontend:
python3 -m dynamo.frontend --router-mode kv --http-port 8000For Kubernetes, patch only the frontend service env:
envs:
- name: DYN_ROUTER_MODE
value: kvIf backend workers are not publishing KV cache events, set approximate mode instead of leaving the router waiting for events:
envs:
- name: DYN_ROUTER_USE_KV_EVENTS
value: "false"3. Smoke Test
After port-forwarding the frontend service or starting local frontend, run:
python3 scripts/check_router_health.py \
--base-url http://127.0.0.1:8000This must verify /v1/models and, when a model is discoverable, one
/v1/chat/completions request.
4. Compare Modes Carefully
When comparing round-robin vs KV routing:
- use the same model, workers, prompt set, concurrency, and sampling settings
- send repeated-prefix prompts if demonstrating KV reuse
- label the result as a smoke comparison unless enough benchmark samples were collected
- do not claim throughput improvement from a single chat request
If the endpoint is unhealthy or workers are missing, switch to
dynamo-troubleshoot.
Available Scripts
| Script | Purpose | Arguments |
|---|---|---|
scripts/check_router_health.py | Smoke-test /v1/models and one chat completion against a Dynamo frontend | --base-url, --retries, --timeout |
Invoke via the agentskills.io run_script() protocol:
run_script("scripts/check_router_health.py", args=["--base-url", "http://127.0.0.1:8000"])Show full SKILL.md (226 more words)Show less
Examples
Local KV-routed frontend on port 8000, then smoke-test it:
python3 -m dynamo.frontend --router-mode kv --http-port 8000 &
python3 scripts/check_router_health.py --base-url http://127.0.0.1:8000Kubernetes-deployed frontend reachable via port-forward:
kubectl port-forward svc/qwen-vllm-disagg-frontend 8000:8000 -n dynamo-demo &
python3 scripts/check_router_health.py --base-url http://127.0.0.1:8000 --retries 3Equivalent through the agent protocol:
run_script("scripts/check_router_health.py", args=["--base-url", "http://127.0.0.1:8000", "--retries", "3"])Output Contract
Return:
- mode selected and why
- local command or Kubernetes env patch
- frontend service or URL
- smoke-test result
- any limitation, such as approximate KV mode or missing worker KV events
- next command to run for a fuller comparison
Limitations
- Smoke test is one chat completion; it is not a benchmark. Use
dynamo-benchmarkfor throughput/latency numbers. - KV-aware mode without worker KV-event publication degrades to approximate mode; this skill flags but does not fix the underlying worker config.
- Mode comparisons require matched workloads; cross-mode latency claims need separate benchmark runs.
Troubleshooting
| Symptom | Likely cause | Next step |
|---|---|---|
/v1/models returns empty list | No worker registered with the frontend | Verify worker pods are Ready; confirm they connect to the same etcd/NATS |
| Smoke chat request times out | Frontend up, workers not serving | Switch to dynamo-troubleshoot; inspect worker logs |
| KV mode hangs | Workers do not publish KV cache events | Set DYN_ROUTER_USE_KV_EVENTS=false (approximate mode) |
| Connection refused on port-forward | Port-forward dropped or wrong service name | Re-run port-forward; verify the frontend service name matches the recipe |
Benchmark
See BENCHMARK.md for the NVCARPS-EVAL performance report (auto-generated by the NVSkills CI pipeline). To refresh, re-run /nvskills-ci on an upstream PR touching this skill.
References
- Read
references/router-modes.mdfor the compact mode/env map. - Use
scripts/check_router_health.pyfor endpoint smoke tests.
© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (scripts, references) in skills/dynamo-router-starter of NVIDIA/skills.
- SKILL.md
- BENCHMARK.md
- evals/evals.json
- references/router-modes.md
- scripts/check_router_health.py
- skill-card.md
- skill.oms.sig
Open the folder on GitHubat commit 67a13c0
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in NVIDIA/skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Dynamo Router Starter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dynamo Router Starter this skillNVIDIA/skills | 3.5k | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Vetatilladeniz/Kubeli | 387 | 3 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | 1 repos | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Dstack Presetsdstackai/dstack | 2.3k | — | ~403 | Automated safety check: Pass | MPL-2.0 | |
| Toolsastronomer/astronomer | 491 | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Dstackdstackai/dstack | 2.3k | — | ~6.2k | Automated safety check: Warn | MPL-2.0 |
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Related
Works with
Categories
Questions about Dynamo Router Starter
What does Dynamo Router Starter do?
Start or patch Dynamo router modes and run router endpoint smoke checks. Dynamo Router Starter is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Start or patch Dynamo router modes and run router endpoint smoke checks.
When should I use Dynamo Router Starter?
Dynamo Router Starter fits situations like: device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.
How do I install Dynamo Router Starter in Claude Code?
Run `npx skills add NVIDIA/skills --skill dynamo-router-starter -a claude-code`. Or copy the skill folder (skills/dynamo-router-starter in NVIDIA/skills) into .claude/skills/dynamo-router-starter in your project. Claude Code loads it when a task matches its description.
How do I install Dynamo Router Starter in Codex?
Run `npx skills add NVIDIA/skills --skill dynamo-router-starter -a codex`. Or copy the skill folder (skills/dynamo-router-starter in NVIDIA/skills) into .agents/skills/dynamo-router-starter in your project. Codex loads it when a task matches its description.
Can I use Dynamo Router Starter in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill dynamo-router-starter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dynamo-router-starter, .gemini/skills/dynamo-router-starter, .github/skills/dynamo-router-starter and .opencode/skills/dynamo-router-starter in your project.
What does Dynamo Router Starter need to run?
Going by SKILL.md and its folder, Dynamo Router Starter needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and kubectl). Our summary lists: Python 3.
Does Dynamo Router Starter access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Dynamo Router Starter safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Dynamo Router Starter use?
Dynamo Router Starter is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dynamo Router Starter use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 533 tokens, read only when the agent opens those files.
What are the alternatives to Dynamo Router Starter?
Skills that share tags, products or a category with Dynamo Router Starter: Vet (atilladeniz/Kubeli, 387 stars), Alibabacloud Ecs Sec Userspace (aliyun/alibabacloud-ecs-troubleshoot-skills, 148 stars), Dstack Presets (dstackai/dstack, 2.3k stars) and Tools (astronomer/astronomer, 491 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dynamo Router Starter?
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,539 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.